|
|
Absolute deviation, 绝对离差; {# D5 D4 M; ^- Q, ?
Absolute number, 绝对数8 w7 D6 @5 Z. C* m
Absolute residuals, 绝对残差
4 X. b1 u$ h. l& [- YAcceleration array, 加速度立体阵5 u; u& `$ ?$ W- y a( L4 A" ]
Acceleration in an arbitrary direction, 任意方向上的加速度
; x# O# J; U) t+ nAcceleration normal, 法向加速度- c( @ f: Q1 v |: ?2 g" e
Acceleration space dimension, 加速度空间的维数) X" ^" J, S" l0 B/ D
Acceleration tangential, 切向加速度
! K0 B: B- z) y" U, y- X# _Acceleration vector, 加速度向量
. v5 E; u" v% v8 |8 Q/ C9 v2 Y3 aAcceptable hypothesis, 可接受假设
" z+ V& c7 O" K- S* h+ d* }Accumulation, 累积
8 X* l% w( D& L6 v: nAccuracy, 准确度
0 t# X3 p, n4 Q4 W4 |& wActual frequency, 实际频数
/ Q1 u/ p v; s. Z0 UAdaptive estimator, 自适应估计量
- V$ I3 @0 G" V6 O" `3 Y8 ~Addition, 相加
* E; Z# X& Z$ M& b8 u' u ^Addition theorem, 加法定理3 n5 }% j# }2 @ X, `
Additivity, 可加性. u+ ]- `2 M" _5 m/ n, ~
Adjusted rate, 调整率6 ?4 H5 {8 F0 ]
Adjusted value, 校正值
9 l+ q* \ N" y7 O- uAdmissible error, 容许误差) q1 U5 J- Q2 ~5 `. n$ D) \3 _' M
Aggregation, 聚集性
" J9 \$ i5 O" T, bAlternative hypothesis, 备择假设7 G, h2 ~% [4 P) F2 [
Among groups, 组间
6 P! y# J- @4 v, ~Amounts, 总量
' Q' a- j0 N' |3 ?! r( p/ s1 S4 pAnalysis of correlation, 相关分析
$ C0 ~& u7 L2 D( w4 t+ k2 h; iAnalysis of covariance, 协方差分析
) P/ p& O+ k* A* Z) H" {Analysis of regression, 回归分析8 Q6 g. R# o3 i0 |8 O7 s7 ^
Analysis of time series, 时间序列分析
$ _7 S* D" w( t) K8 F# J- VAnalysis of variance, 方差分析
; ?) t3 [" I! d5 N' z BAngular transformation, 角转换
' l( B+ Q2 v* J0 _$ M0 }ANOVA （analysis of variance）, 方差分析
U |9 l2 L7 H2 x! j' EANOVA Models, 方差分析模型8 }; ^0 ^9 j3 e+ x' a% [
Arcing, 弧/弧旋4 k/ P7 a2 U4 r. c8 Q! Z8 y
Arcsine transformation, 反正弦变换
$ @- R# I& \; e! m! UArea under the curve, 曲线面积
: y0 G7 Q0 x3 `$ h: a% ^AREG , 评估从一个时间点到下一个时间点回归相关时的误差
& d/ K7 d1 g; t( w, J/ ?2 h0 y$ X1 S+ ^ARIMA, 季节和非季节性单变量模型的极大似然估计 . {# k6 A1 s; E: ^3 O3 u ?
Arithmetic grid paper, 算术格纸* Q7 L" C. n5 b) ]
Arithmetic mean, 算术平均数3 | ]6 Y2 ]" s: C8 X( ~
Arrhenius relation, 艾恩尼斯关系2 m' |9 R* H; ~' H
Assessing fit, 拟合的评估
# X& O8 ~; z: n9 S9 U3 wAssociative laws, 结合律! _- W& N, X4 m# L& ^2 y5 M4 l
Asymmetric distribution, 非对称分布* m6 I e7 T. `8 K0 X
Asymptotic bias, 渐近偏倚2 I6 r, K6 [1 U# b# g% I: J
Asymptotic efficiency, 渐近效率
7 b4 [2 I) L0 ?6 P2 I2 |+ dAsymptotic variance, 渐近方差
; J7 {& Q- e# H% y) GAttributable risk, 归因危险度
{; H* b: e" l" vAttribute data, 属性资料
4 F+ q5 r: ?* ~( Z' rAttribution, 属性
$ k; J& `4 U6 S( hAutocorrelation, 自相关
7 Y4 P a5 R1 V; A3 P. q% e) bAutocorrelation of residuals, 残差的自相关
- P4 H7 u$ T6 YAverage, 平均数
$ G8 u8 I; I; ~' b, ] u& NAverage confidence interval length, 平均置信区间长度
$ @4 V3 x8 H- l1 o1 E+ B! }! QAverage growth rate, 平均增长率
" j) P% `: _2 X5 r. s: K: PBar chart, 条形图
}* f, p* [4 G4 n! XBar graph, 条形图
2 |! S _, }7 f. ]( b7 u0 QBase period, 基期$ J% J; ^- a" d" l3 m' B" ^8 [
Bayes' theorem , Bayes定理+ ~$ u. Z1 n) j$ O6 h
Bell-shaped curve, 钟形曲线: j, }: c, A3 V+ g* T
Bernoulli distribution, 伯努力分布: O) k5 B L, v) R, \. `( l
Best-trim estimator, 最好切尾估计量
) n! M" e: {8 k2 BBias, 偏性/ p# }6 r0 O3 y. E6 e1 _ f
Binary logistic regression, 二元逻辑斯蒂回归/ T: N3 m2 W' c3 K3 c, L8 {! o
Binomial distribution, 二项分布, {& h& Y/ ]6 g; z
Bisquare, 双平方. e% |. r- j' E6 k; f, X
Bivariate Correlate, 二变量相关& p- a' b* f+ X0 [' x- q9 D8 i
Bivariate normal distribution, 双变量正态分布7 N" i8 H( I% d6 Z
Bivariate normal population, 双变量正态总体
' }# E' Z, |# A1 J6 w, IBiweight interval, 双权区间
) ~% ^0 O3 S PBiweight M-estimator, 双权M估计量
3 ?) X- M) u; o8 T( T: e& f* EBlock, 区组/配伍组, u" A; E, Z3 n2 s) n' s/ g
BMDP(Biomedical computer programs), BMDP统计软件包5 W( X! x" J, k+ Q
Boxplots, 箱线图/箱尾图
: u) y& Y0 R8 ~8 ZBreakdown bound, 崩溃界/崩溃点
5 c6 w" R; X. ^1 ZCanonical correlation, 典型相关. y6 S" g1 e& Y& h& F3 D
Caption, 纵标目
+ a9 j& b$ }5 ?0 }" GCase-control study, 病例对照研究
8 w$ v+ j* n& C- L. ^3 V& X& c, TCategorical variable, 分类变量1 g: a6 J% r1 S: t: _( b2 S* R1 j
Catenary, 悬链线1 d# C9 e: Y6 I! W
Cauchy distribution, 柯西分布" P3 r% p; }, ~1 W* o2 Q5 Z
Cause-and-effect relationship, 因果关系
. b4 }' Y! A7 f. xCell, 单元
' N8 t: I0 ]& B: Z3 NCensoring, 终检1 U" Y) ~* r1 [8 N/ B, O8 H" o
Center of symmetry, 对称中心
( b) L0 J: D0 V m3 aCentering and scaling, 中心化和定标
5 ] V3 n3 g- b. w B# iCentral tendency, 集中趋势" A' W$ Q/ D; i) S4 k* k
Central value, 中心值
; Y* l' Y& R! X6 |CHAID -χ2 Automatic Interaction Detector, 卡方自动交互检测. `" j. m" p$ }" [$ a% |! @. Q8 W
Chance, 机遇
0 B& L5 L# h' u) L- U9 MChance error, 随机误差3 U; \; \6 r7 T. [8 f
Chance variable, 随机变量
$ o/ v, M6 e! r0 dCharacteristic equation, 特征方程& O5 @/ O( D; _
Characteristic root, 特征根
9 D8 J$ a! @/ s. DCharacteristic vector, 特征向量
# _: M' u* o, |# L2 f% e+ lChebshev criterion of fit, 拟合的切比雪夫准则
2 ~9 j0 u; q% ?; E! W3 M2 f7 gChernoff faces, 切尔诺夫脸谱图
- u; z' J& E2 B" AChi-square test, 卡方检验/χ2检验
' w0 l% e# h' q& [- i5 LCholeskey decomposition, 乔洛斯基分解- a. T$ X7 T8 G/ i8 R
Circle chart, 圆图 ' r8 e7 O7 N+ B
Class interval, 组距
1 d* s8 [$ p& J0 d) {, x0 Q8 DClass mid-value, 组中值3 I! R( K; I2 L4 A
Class upper limit, 组上限
' G) L7 D2 n& C: JClassified variable, 分类变量; }% k2 W3 M$ d4 Y% [/ u( g
Cluster analysis, 聚类分析
- f4 m3 e- g0 p0 e! fCluster sampling, 整群抽样
, l! ]" R- E9 C/ n( RCode, 代码
5 K8 H$ y8 J- D( @+ s) J. ~Coded data, 编码数据4 F# p) e+ e+ [6 e
Coding, 编码# l7 G! s* b- W* G$ ^& C3 @4 Z
Coefficient of contingency, 列联系数1 [7 L3 h4 v7 k7 n. L/ z: B
Coefficient of determination, 决定系数2 K4 `& M8 f7 R2 @+ C2 v9 W$ l
Coefficient of multiple correlation, 多重相关系数
* G# J6 ~2 D' T0 o% k z( gCoefficient of partial correlation, 偏相关系数
, K- J$ E/ M% e/ D+ x, b# i$ ACoefficient of production-moment correlation, 积差相关系数
( i j3 ?% ~$ |# \Coefficient of rank correlation, 等级相关系数
( `; J9 [( o7 w, _Coefficient of regression, 回归系数8 f: w [; X/ L
Coefficient of skewness, 偏度系数/ g6 H' D+ C6 S8 q$ V
Coefficient of variation, 变异系数/ R# C& y4 D. d3 {7 K% T# R; D8 @2 B
Cohort study, 队列研究
7 l3 x5 o- z8 M. [1 n* u' r6 gColumn, 列
2 a6 Q5 F% @! x+ E2 nColumn effect, 列效应
) ~! s! h+ W$ h; wColumn factor, 列因素4 \* {) x, Y, U7 \/ w+ R a
Combination pool, 合并
( k3 X/ n7 W" z/ L: R7 PCombinative table, 组合表
* C( T) @# H+ R- A; hCommon factor, 共性因子# M; S. }) S7 I# v6 v$ Z* ?
Common regression coefficient, 公共回归系数- x; w+ L' y+ L3 ^: o2 C
Common value, 共同值3 S1 S4 k4 k- J9 a& j& u
Common variance, 公共方差- [/ Z0 ], B/ G8 C+ ^5 S
Common variation, 公共变异
" ?! `. }$ a7 PCommunality variance, 共性方差/ L: a, M0 V u7 W9 n
Comparability, 可比性3 |/ i$ p# D* V @" N1 u! M A D7 W. a% Q
Comparison of bathes, 批比较
1 f" d9 M& T4 S) e( K7 _. ZComparison value, 比较值
0 u- e! z+ T2 @% j- @ y/ I3 aCompartment model, 分部模型/ X* A+ J) S, n8 v& n$ ~: \
Compassion, 伸缩' l& k% z n: n- d' }; I
Complement of an event, 补事件
$ d" M+ K) n( E" o1 w* uComplete association, 完全正相关7 s, i0 K8 o6 g: ? G9 t. x
Complete dissociation, 完全不相关
1 N/ e1 e' r \! a1 y& I# TComplete statistics, 完备统计量
; @' e2 u4 O* q' Y$ C, e7 E+ OCompletely randomized design, 完全随机化设计7 U/ n+ T$ x& V- G) b
Composite event, 联合事件) G2 T! I( I2 ]5 t j0 O
Composite events, 复合事件( v2 a4 H$ J: v4 t8 g
Concavity, 凹性
1 ~2 l8 V% w7 N, h% T( S* wConditional expectation, 条件期望
9 w' |) E6 r4 X+ RConditional likelihood, 条件似然) D8 B( A/ M+ ], a9 g: o/ F
Conditional probability, 条件概率
8 b8 J' |' G* X- I3 V$ ]Conditionally linear, 依条件线性
7 R4 d9 ^) Z3 t) DConfidence interval, 置信区间
" c% a! t, L4 ]' _Confidence limit, 置信限
& d9 U; P& A% tConfidence lower limit, 置信下限/ i) Y3 c2 l8 D, y: |' n: D+ x
Confidence upper limit, 置信上限7 j! y5 \0 C& r6 s/ X) T
Confirmatory Factor Analysis , 验证性因子分析
; z) W! e( O7 h9 P! ~ ?1 q* OConfirmatory research, 证实性实验研究
5 T: y9 z4 h7 L9 \4 N' ~% m# t6 {Confounding factor, 混杂因素
, @8 @! A9 G2 `. _Conjoint, 联合分析. O3 ~, r* T2 P I' j
Consistency, 相合性3 J4 o, E( x* H. v9 Z
Consistency check, 一致性检验+ O" T1 a5 [# J( y- o2 N( K
Consistent asymptotically normal estimate, 相合渐近正态估计" H+ U! }% X7 y$ E* q. M
Consistent estimate, 相合估计+ M' F2 _* H8 U$ k
Constrained nonlinear regression, 受约束非线性回归2 y2 V: u! Y7 E! n5 N
Constraint, 约束
( \. }& L9 V5 b) s) rContaminated distribution, 污染分布
) i; j: ^- ]) p- f- V- QContaminated Gausssian, 污染高斯分布- a* M8 F2 ^" h/ G- Q# K0 i+ f
Contaminated normal distribution, 污染正态分布
. z( o2 K& H5 N4 JContamination, 污染
2 R2 l% r/ u5 i5 x; [: oContamination model, 污染模型
( S3 X6 E% w8 mContingency table, 列联表+ v9 v* R' Y# H3 W& h& y+ Z
Contour, 边界线
$ ?6 s! g8 v1 J" q* i" J# B4 f4 o% eContribution rate, 贡献率% X$ m3 v3 k- H W6 ]# a _
Control, 对照3 z9 ]6 }9 K3 r: P$ A: K
Controlled experiments, 对照实验
4 t- ]+ w7 M9 C* x2 m& lConventional depth, 常规深度
4 y9 p4 Z9 T. @$ ]' KConvolution, 卷积& t" y" G5 C4 U
Corrected factor, 校正因子
6 U: p3 a0 k/ Y, y1 XCorrected mean, 校正均值& H7 t/ u) i1 ~, j
Correction coefficient, 校正系数
3 l5 l* x) d' n, U' HCorrectness, 正确性# u9 ]% p8 L6 J d! x
Correlation coefficient, 相关系数' k* V" Q5 U9 X7 M# y, T2 U
Correlation index, 相关指数/ I, q5 ~( Q& `) s
Correspondence, 对应% U3 j% ~ v( {* }- ^+ |
Counting, 计数8 p8 L- c" ^# I8 l. l9 B
Counts, 计数/频数: k5 j# j$ |1 o6 G! y
Covariance, 协方差( |8 G+ f+ a3 z3 l; p$ C. V0 M
Covariant, 共变 , A( U" Z* ?* M' P/ _0 H
Cox Regression, Cox回归
5 z& a+ [7 d* OCriteria for fitting, 拟合准则3 C: R) P* L$ v& x
Criteria of least squares, 最小二乘准则
8 a7 ]; g3 X8 gCritical ratio, 临界比
+ J6 P2 x8 ^+ T2 ?9 J5 U/ pCritical region, 拒绝域2 P3 _: E- G1 T8 y8 P
Critical value, 临界值
( b* X, }( N4 w6 W$ UCross-over design, 交叉设计! t: w. x% Z$ k2 x! _7 S* ~
Cross-section analysis, 横断面分析0 H- A4 t( e5 a6 ^0 j! \" W
Cross-section survey, 横断面调查5 o0 }5 J6 w7 x; ^# H0 p3 e! T
Crosstabs , 交叉表
- t" R' t! |; f$ W" X/ B3 w# {& sCross-tabulation table, 复合表; v0 p ^5 J+ g- u" G" C+ [8 q
Cube root, 立方根8 L4 W, V+ j/ m6 F% \8 s
Cumulative distribution function, 分布函数3 `- ]' P* U/ T0 x# k% F
Cumulative probability, 累计概率
3 S, A6 r( _+ d( O- WCurvature, 曲率/弯曲
7 X" ~0 P7 U7 j5 E5 P: FCurvature, 曲率
" L: }) ~: V8 R$ J0 xCurve fit , 曲线拟和 ) H6 B& [, R& g, h' r3 A2 m. G: z ^0 @
Curve fitting, 曲线拟合
7 Q$ k! E" I7 RCurvilinear regression, 曲线回归
8 d/ [% x. s! hCurvilinear relation, 曲线关系& u1 V0 M7 h; E) a) d
Cut-and-try method, 尝试法
4 Y2 s; r, [& t( W4 L/ ~Cycle, 周期: C3 y. t3 f) Z
Cyclist, 周期性
1 w& [; E6 J. E' @/ t- gD test, D检验: I7 R5 q2 H8 s9 {' E* i5 X2 s1 \
Data acquisition, 资料收集- A/ P% u+ p" \$ T( [# \
Data bank, 数据库6 G% J# D2 ]1 \
Data capacity, 数据容量
& j0 C1 g( U9 k% \Data deficiencies, 数据缺乏+ w7 r ]7 @% X
Data handling, 数据处理
4 X9 R) A Q1 H) y5 fData manipulation, 数据处理' j+ _8 \# s7 J; {: O b+ [: G3 ]
Data processing, 数据处理
3 T/ G! ^/ ~' VData reduction, 数据缩减$ Q- q2 R; V$ ]! M: W4 M2 t
Data set, 数据集' y5 I( J4 Q+ u T
Data sources, 数据来源
$ T: b( f& ]: H7 E* }( ^Data transformation, 数据变换
, Z0 H- ^7 Y6 H8 kData validity, 数据有效性7 g+ r2 @: D. ?' Q! [1 P
Data-in, 数据输入
/ \4 l' }4 W6 J: mData-out, 数据输出$ H: X5 j- d7 n; [5 c0 Q+ ~
Dead time, 停滞期5 Y: r) X0 J- i4 Y
Degree of freedom, 自由度
! E; n/ q, J6 a7 S$ H( EDegree of precision, 精密度
3 ^3 C* U* S. M4 I) {Degree of reliability, 可靠性程度7 l0 y9 ^' C" h& R7 e) |
Degression, 递减 _! p. |% H% C" D! T4 o
Density function, 密度函数
% r0 E0 o4 G s, V. @Density of data points, 数据点的密度
+ I: L7 h$ M: g' ^- o* {/ y$ }Dependent variable, 应变量/依变量/因变量3 u% v1 B" y9 |* t
Dependent variable, 因变量8 B: U% y. ]8 b4 {9 r
Depth, 深度5 U4 c1 c8 I4 z# a) G$ r5 e
Derivative matrix, 导数矩阵
9 [5 n% l6 N/ e* I" mDerivative-free methods, 无导数方法! O% ]3 W7 @2 M
Design, 设计( N& v5 _6 a: F V1 W0 ~
Determinacy, 确定性4 M; p0 L7 d. F! f0 {+ f5 ?0 v9 o
Determinant, 行列式9 V: v! V/ j! s; j8 B
Determinant, 决定因素
* ]- A2 D. r" Z( k" G9 X. bDeviation, 离差/ F( ~7 ?; d, d9 L: z2 R+ I# m/ Z3 K
Deviation from average, 离均差* k0 S6 e8 P% y7 c( p" `4 h( M8 A+ B
Diagnostic plot, 诊断图
* X$ P! M) u* L9 B/ ^6 NDichotomous variable, 二分变量
8 [6 @6 {/ a! f! X0 \& HDifferential equation, 微分方程. z8 ]& F+ ?# O/ D" b4 t F: \
Direct standardization, 直接标准化法
& ^5 R6 y) {+ l2 VDiscrete variable, 离散型变量 p9 s9 K) p' B( @+ p
DISCRIMINANT, 判断 " {3 I( t: k* `! v3 Z- e+ a5 H
Discriminant analysis, 判别分析
( p- U" x2 j2 X9 }/ }, {Discriminant coefficient, 判别系数
2 i5 U9 A% E, @" S0 b* }5 rDiscriminant function, 判别值
E+ y' ?# g" A/ G% x/ }% W' hDispersion, 散布/分散度
8 ~& A6 t# x: Y$ pDisproportional, 不成比例的
( z) d* k0 w: {) a2 {Disproportionate sub-class numbers, 不成比例次级组含量. H' Q$ ^+ u9 T
Distribution free, 分布无关性/免分布9 P' a Q1 U" N7 I P. c/ p
Distribution shape, 分布形状
. U0 C- M5 [* W7 sDistribution-free method, 任意分布法) Y# c6 \. v1 R9 V1 O
Distributive laws, 分配律
$ j" u" v# N- ODisturbance, 随机扰动项7 U" K& |% ]! B
Dose response curve, 剂量反应曲线
O" v+ D4 s5 dDouble blind method, 双盲法% X+ {$ q8 c0 q& ^2 i" Z' L5 H% Z
Double blind trial, 双盲试验" O! S6 N) V8 [- a* F2 Z$ c
Double exponential distribution, 双指数分布6 I2 _% n5 W+ N) z! e" K
Double logarithmic, 双对数
1 H# Z. ?7 D* v7 ~7 Y0 N8 G- j8 \# bDownward rank, 降秩
; j1 a$ e- M! Z# |' m0 mDual-space plot, 对偶空间图8 @7 J! K1 g% W0 W2 Y" r! ~
DUD, 无导数方法
2 @1 z1 O# P( I2 v4 V0 DDuncan's new multiple range method, 新复极差法/Duncan新法! |( F6 z1 ]% V9 p
Effect, 实验效应/ v% V5 Q. R0 _! s0 E; D
Eigenvalue, 特征值
; z' C5 f. p& A7 x3 [/ qEigenvector, 特征向量 p0 X7 ^ `, w: _6 J7 W
Ellipse, 椭圆
2 H& D: \( [, dEmpirical distribution, 经验分布1 {* o0 E/ b; H* D u5 r, \
Empirical probability, 经验概率单位
. ^4 {& e" Y7 Z; uEnumeration data, 计数资料' |9 L, U" i3 e& y* ~* X. `: c
Equal sun-class number, 相等次级组含量
2 y) |: c4 p. iEqually likely, 等可能
; r v7 _7 [+ v5 e1 s- C( O# cEquivariance, 同变性
! |0 w! k2 z$ i+ A6 D' h3 h9 |Error, 误差/错误
v5 V3 U9 T! l7 cError of estimate, 估计误差
+ R5 j6 Q( y9 F' \Error type I, 第一类错误# F; M0 k! j0 p
Error type II, 第二类错误
- h# a c: x; I2 k+ i, }Estimand, 被估量
+ c! Y M1 Q1 H% ]5 |+ UEstimated error mean squares, 估计误差均方
3 [! ~& ^( |* W) o, l& S; d* rEstimated error sum of squares, 估计误差平方和. m0 T" Y& W3 L
Euclidean distance, 欧式距离6 ~$ X, ?6 J% b/ N6 N$ F3 z& Q
Event, 事件
0 o! m7 Q8 h* c6 REvent, 事件3 g1 Q, _, T$ v6 J' S
Exceptional data point, 异常数据点1 a- L7 q6 F& E6 x" v
Expectation plane, 期望平面4 p7 H% C+ j) G8 ]# w. O0 W
Expectation surface, 期望曲面% ]; O" }& Q9 P* C# l5 h. z
Expected values, 期望值 X- ?' [* J7 I2 ^
Experiment, 实验
; A% v) q3 H ]7 `; NExperimental sampling, 试验抽样/ Z' h$ }2 ?! T
Experimental unit, 试验单位' }! [3 M5 W6 u
Explanatory variable, 说明变量$ u. d; z" x% R0 z* u
Exploratory data analysis, 探索性数据分析
) l% r1 U- j K% b) h% DExplore Summarize, 探索-摘要
F6 F2 y: t! @6 d) H8 v" {+ H0 UExponential curve, 指数曲线0 b* A! K$ ~) P3 a( K: l
Exponential growth, 指数式增长
" r, s; S/ B( @. {EXSMOOTH, 指数平滑方法 + g- A9 @) {/ k0 b* i
Extended fit, 扩充拟合 ^' L X% A6 w% T& Q* C
Extra parameter, 附加参数# d+ y3 i; z+ y: C+ N8 ?( m8 n M, q
Extrapolation, 外推法: S' ]. z4 y; e* [# m+ f" E0 L
Extreme observation, 末端观测值
9 D, ^) E4 t) j! u$ [8 Q C' Z- q& QExtremes, 极端值/极值* n4 _5 b) w N; c8 K' ]; {
F distribution, F分布* X7 H" v( r* R. D
F test, F检验
& g* b! r3 ^- I0 W$ p$ t; RFactor, 因素/因子( [9 \9 v: O% [5 }. t( C
Factor analysis, 因子分析
4 a: N/ T, @2 T% fFactor Analysis, 因子分析$ P8 }5 b* L& }
Factor score, 因子得分 9 F* Z' Q! w' n7 ?& ^8 e; N
Factorial, 阶乘
/ z' ?8 K. j$ Z- A* {: H! QFactorial design, 析因试验设计
5 [7 c2 W6 |& g! QFalse negative, 假阴性
$ V( B5 r: s* P8 R2 }% ^4 MFalse negative error, 假阴性错误
2 }9 f$ s3 V7 N* y4 xFamily of distributions, 分布族
. t! @0 u* }8 r. m6 SFamily of estimators, 估计量族
7 E8 `) R. c' q- N- |9 o* |" PFanning, 扇面
' V/ m& Q1 k$ c/ D, FFatality rate, 病死率
$ d6 D; k8 I' a- p' u" DField investigation, 现场调查) n! o' w$ X' e8 {' Y
Field survey, 现场调查
- R# u. W7 G" O: y. G, x8 OFinite population, 有限总体
0 `8 R+ e8 X x+ [+ t/ K$ UFinite-sample, 有限样本; Y/ o, O, D1 {1 z. }
First derivative, 一阶导数
* ~, F) i. u* r2 {5 I! J3 gFirst principal component, 第一主成分
$ F2 C" ^- _9 P# P, a& oFirst quartile, 第一四分位数
' U' V9 x" u: g7 A5 @/ O& aFisher information, 费雪信息量
! \" S& [: E7 M7 S/ g* H9 e% S4 ?Fitted value, 拟合值
" M+ F$ H6 F" S! `7 NFitting a curve, 曲线拟合
6 }: a3 ?4 b+ j( ~+ ?Fixed base, 定基
2 {. }& E: g) C4 DFluctuation, 随机起伏+ t& ]8 R( y- g- r
Forecast, 预测
$ W1 N' I% ], I( B! q: `; B( f" {Four fold table, 四格表
$ \* K$ J0 Z6 `) sFourth, 四分点' q! ^# l# r' A$ ]$ Z6 V
Fraction blow, 左侧比率
5 J7 b! P) G% Q, pFractional error, 相对误差( B n) m" M: z: a$ ~1 F" d; A
Frequency, 频率
9 j# }0 A/ g( e4 NFrequency polygon, 频数多边图
0 }! a7 g6 g! x$ gFrontier point, 界限点/ }, r# a* v- c
Function relationship, 泛函关系
# X3 J2 j# Q n q* sGamma distribution, 伽玛分布
- W @2 n5 \& l M! u4 |! wGauss increment, 高斯增量7 S( ]: K k- }
Gaussian distribution, 高斯分布/正态分布
1 ^4 [3 h0 @ k# G/ @) O3 P# vGauss-Newton increment, 高斯-牛顿增量
3 f* `) _3 e/ k9 HGeneral census, 全面普查, ~ O* u2 o% R3 Q1 F. ~$ D9 X8 K
GENLOG (Generalized liner models), 广义线性模型 / @8 ?, F: O; a2 }; g- U4 f
Geometric mean, 几何平均数0 p$ Z5 y3 g2 Y- x0 U
Gini's mean difference, 基尼均差, Z* m" D: F3 J; Y& v* ]* ?# |
GLM (General liner models), 一般线性模型 7 w5 Q7 q9 @0 o
Goodness of fit, 拟和优度/配合度* X0 e% a5 Q/ G$ e; y) M
Gradient of determinant, 行列式的梯度$ ~& G/ j- L9 C7 {( l
Graeco-Latin square, 希腊拉丁方
. Z# q: v9 o) EGrand mean, 总均值6 F" ~! ?( I* q( S
Gross errors, 重大错误0 H, W) ]" d6 ?% o
Gross-error sensitivity, 大错敏感度$ k6 S; U, h: q1 y
Group averages, 分组平均8 j; ?1 M5 H t1 n0 l, S
Grouped data, 分组资料
) ~4 }3 L3 V6 z$ i) N: ~* xGuessed mean, 假定平均数
* F2 V9 Q; b* ?* v0 {& U( VHalf-life, 半衰期
7 v1 I3 E3 f+ X3 j. ?/ }Hampel M-estimators, 汉佩尔M估计量2 C0 o0 j" |/ b) w% A& U) P1 v# O
Happenstance, 偶然事件
3 }9 H" l0 e2 j8 v) G8 I3 S1 JHarmonic mean, 调和均数
2 V# w- y- m0 U% S Q" n# j- i3 m# MHazard function, 风险均数2 D7 a# v$ N6 Y" N( j$ K- O
Hazard rate, 风险率5 W# E& s( d6 d" K# ] p) f; r; H
Heading, 标目 8 p f$ {) a; Z3 x
Heavy-tailed distribution, 重尾分布% {( O, b" q0 L }0 s" C
Hessian array, 海森立体阵
! ^' G3 J' I+ Z9 K1 i0 b" jHeterogeneity, 不同质
7 j& f* o5 I- ~$ ~9 Y% OHeterogeneity of variance, 方差不齐
8 M! t6 B( V" a `# v+ mHierarchical classification, 组内分组" p ^( s( |9 }' V0 Y
Hierarchical clustering method, 系统聚类法
7 L* W" Z8 ?' a, R: P! kHigh-leverage point, 高杠杆率点0 x# i* `$ ]$ ]# U2 f
HILOGLINEAR, 多维列联表的层次对数线性模型
+ R0 k" M- O! C8 FHinge, 折叶点* L6 E+ z) ^) G5 b! G8 I& \. j, t
Histogram, 直方图
8 U4 ^2 V* z1 E% Q$ v9 GHistorical cohort study, 历史性队列研究 6 c$ U* G* f; b1 o; p
Holes, 空洞5 s, a* D5 j' D
HOMALS, 多重响应分析
6 h9 I6 S/ J0 _. R2 Q7 Q1 V0 S- IHomogeneity of variance, 方差齐性9 J8 f2 d& m- u5 D& I) A) m. j
Homogeneity test, 齐性检验8 x2 e7 a1 _2 V4 _" d
Huber M-estimators, 休伯M估计量0 D' E6 u, ?1 n2 k$ x- y F
Hyperbola, 双曲线0 p$ ^0 L" L9 V8 u, @* R
Hypothesis testing, 假设检验
* W: \; R# j- Y3 r. H |Hypothetical universe, 假设总体
) G7 O6 S' \- O7 NImpossible event, 不可能事件 h, n/ Z! D3 D# g7 M# L
Independence, 独立性+ ^9 F. x9 W+ s# C- X
Independent variable, 自变量: v# ]2 H) Z, R1 |' @
Index, 指标/指数
k/ R' c& Q1 c" {9 T- l1 oIndirect standardization, 间接标准化法5 |+ R; |" w2 c% ^1 T6 o
Individual, 个体
: D* x% l2 p% u! I( H( n6 j7 Q' ] RInference band, 推断带
9 z; f( F0 O' n! A6 ~Infinite population, 无限总体6 n V7 w, G% H; D5 q: p0 ^1 p
Infinitely great, 无穷大
1 H; e) ]0 w9 VInfinitely small, 无穷小9 R! n( \, }1 K) z/ {- i
Influence curve, 影响曲线7 o" m, A4 e% J4 N/ G9 G: E
Information capacity, 信息容量) R; R2 c K7 a; Y4 z. a" v' p
Initial condition, 初始条件0 o3 n+ y9 e2 c2 D
Initial estimate, 初始估计值! a3 x: j/ S% p% V) \' p
Initial level, 最初水平/ N3 N% K. d; ~# C3 o8 H# j
Interaction, 交互作用6 Z7 a6 Y0 c' l9 b! k
Interaction terms, 交互作用项' Q `0 E8 f6 Q* o. R" L
Intercept, 截距, @( P5 a4 k' Y: Z
Interpolation, 内插法$ |- e3 w" p2 C. [# a
Interquartile range, 四分位距, K. A T6 q; X; X
Interval estimation, 区间估计
# ~3 t r/ U* s) vIntervals of equal probability, 等概率区间) f# }$ w: W& ?' _( v
Intrinsic curvature, 固有曲率1 q W$ f, ?& z) z* F
Invariance, 不变性
- r0 x, M& T" I5 W; kInverse matrix, 逆矩阵
D1 ~5 w+ v6 F4 K5 h! l7 Z& l6 BInverse probability, 逆概率2 \: l5 A+ Z# n) j
Inverse sine transformation, 反正弦变换" \( }% U7 x, f" X3 N% D
Iteration, 迭代 3 M! X' P9 A: Z
Jacobian determinant, 雅可比行列式, c6 ^8 K3 j6 |0 x
Joint distribution function, 分布函数
3 e5 j& r8 [# \. ~- ?7 aJoint probability, 联合概率! u% ~$ g9 C1 F2 v
Joint probability distribution, 联合概率分布* k9 L2 d% y( Q- G. T9 Z7 u
K means method, 逐步聚类法
5 O% }5 L. o3 }0 b" m2 A9 kKaplan-Meier, 评估事件的时间长度 z7 ]$ F9 g" f7 z5 R
Kaplan-Merier chart, Kaplan-Merier图# O! X. C6 D' o, t' v
Kendall's rank correlation, Kendall等级相关) i; Q4 u+ }2 M$ Z% V
Kinetic, 动力学
; {5 W& L) F; T) EKolmogorov-Smirnove test, 柯尔莫哥洛夫-斯米尔诺夫检验
: T' I( V8 K: P# X: P5 wKruskal and Wallis test, Kruskal及Wallis检验/多样本的秩和检验/H检验
$ ~/ P/ [( O" I; X' ?( pKurtosis, 峰度: V9 i3 I1 [ [' X; q
Lack of fit, 失拟
; p- {: U- E [3 b9 x5 Y$ U! I% yLadder of powers, 幂阶梯! g G! K# a( g) |1 c2 t* h/ j4 U* V
Lag, 滞后8 i8 U% J1 g9 p {' y
Large sample, 大样本
3 C+ k/ a& e3 CLarge sample test, 大样本检验' ?# b2 e4 s1 x6 u
Latin square, 拉丁方$ @2 D1 i2 G7 g5 ]2 }2 @8 q
Latin square design, 拉丁方设计( K4 M* u- l5 O: x: K2 A, G) S
Leakage, 泄漏
0 q1 j3 H% Q1 MLeast favorable configuration, 最不利构形
& T( x+ q3 h- t+ z( m' wLeast favorable distribution, 最不利分布; U) L5 W8 n6 a7 L) ]
Least significant difference, 最小显著差法
3 L. z* Y; Z2 f5 RLeast square method, 最小二乘法
/ D* H' D- H) \# m3 o7 QLeast-absolute-residuals estimates, 最小绝对残差估计4 q% O$ w" U/ k: o# R6 a k
Least-absolute-residuals fit, 最小绝对残差拟合: l, C: R. Y9 [3 L
Least-absolute-residuals line, 最小绝对残差线
3 @8 }% ]/ D) r6 qLegend, 图例( J7 r$ Q/ r' q e
L-estimator, L估计量* P- F' _& U4 Z' P- d" F! f
L-estimator of location, 位置L估计量
: \' K/ `* {1 k, o hL-estimator of scale, 尺度L估计量
, a+ y" a( `3 T5 h3 v$ ^Level, 水平
/ d) ]; ?+ \/ e! a0 xLife expectance, 预期期望寿命( L6 S9 l5 h% @$ I( x, s) f. @
Life table, 寿命表
* e8 O& m( }- H2 q8 S5 [, [Life table method, 生命表法6 U% i6 { C1 R
Light-tailed distribution, 轻尾分布
9 V7 i$ K# x( U6 t1 q7 uLikelihood function, 似然函数
& O7 J9 H. z" y4 t: N+ v7 RLikelihood ratio, 似然比! q; |! T; C5 @# \/ ]0 ]
line graph, 线图7 M5 G' z6 B: ?$ D; a$ U, D
Linear correlation, 直线相关 D% \+ H6 n& i
Linear equation, 线性方程 y2 R) D4 y$ J, o3 o
Linear programming, 线性规划6 E$ `0 D# C& B$ g* B% A
Linear regression, 直线回归1 G" G# G5 \+ ~2 m5 `
Linear Regression, 线性回归
0 @; L6 U% B6 L. L9 kLinear trend, 线性趋势, H }" @* `/ H8 n1 W1 E
Loading, 载荷
# |, ? g) J, `Location and scale equivariance, 位置尺度同变性
4 M, w! w( Z- GLocation equivariance, 位置同变性/ `8 F `2 L3 e4 z* d& w" E, R4 b1 Q
Location invariance, 位置不变性/ |* z4 r! f! e$ v- s
Location scale family, 位置尺度族' P4 g( G/ g* C* _6 w5 G7 B1 V
Log rank test, 时序检验 & S" p0 R3 o7 |: \# _& L2 v
Logarithmic curve, 对数曲线
( [6 ~1 m+ U/ p) b! W& n( \# ?3 bLogarithmic normal distribution, 对数正态分布
5 p) T" `) {: N6 |# Z* f9 eLogarithmic scale, 对数尺度
3 E4 |8 I% R) B" c# \# i) zLogarithmic transformation, 对数变换- T' \" z6 H+ }; o6 A
Logic check, 逻辑检查# \+ N& A- e1 v5 ~
Logistic distribution, 逻辑斯特分布8 p1 ~; ~! |0 I( \7 v
Logit transformation, Logit转换( y, E& B8 d4 v5 F9 k! K& i
LOGLINEAR, 多维列联表通用模型
! t7 j) m& E7 m/ ?5 oLognormal distribution, 对数正态分布
+ M: Q5 K) T7 m7 aLost function, 损失函数3 g1 e) G. f9 l
Low correlation, 低度相关" s& k1 g0 ~) `2 J( d# `& I# \- `" V
Lower limit, 下限4 |' k- l8 G- V3 F7 E O J: E1 q( q
Lowest-attained variance, 最小可达方差( R( r5 c0 Y9 x* n% U9 o! Y
LSD, 最小显著差法的简称
- w7 h. m6 {/ W. Y& e' ?Lurking variable, 潜在变量- o9 \( N6 r/ w; I1 U8 `
Main effect, 主效应7 U- q) v; x7 {1 A( u, Q: ]! c+ W
Major heading, 主辞标目" M4 n7 s" S6 u
Marginal density function, 边缘密度函数/ R4 H/ h+ e( }7 V
Marginal probability, 边缘概率5 c) D4 D, u1 [4 a F, S7 [
Marginal probability distribution, 边缘概率分布
+ P' H, t$ n1 _Matched data, 配对资料
" C; t2 z* ~! _: `Matched distribution, 匹配过分布
. w: l2 V L U: pMatching of distribution, 分布的匹配
' [* l5 {! p* p) U6 c1 vMatching of transformation, 变换的匹配
3 m+ U; q# M% ~" Z; XMathematical expectation, 数学期望
9 a% i* c7 ^7 V; sMathematical model, 数学模型& j6 \1 H0 [7 w
Maximum L-estimator, 极大极小L 估计量# u$ j' Y$ `6 M/ {* ]0 ~; k
Maximum likelihood method, 最大似然法
9 J4 j* w" a' K9 d6 W$ lMean, 均数9 I6 T/ D& M2 T! a1 h: r/ P
Mean squares between groups, 组间均方; a! G* O6 d/ R) f/ v
Mean squares within group, 组内均方
: ]: K" @4 e. B* H( EMeans (Compare means), 均值-均值比较
! E$ D r2 D+ m+ |; ? KMedian, 中位数
, z; M/ `' L6 F3 z" Y1 qMedian effective dose, 半数效量& m6 q1 B3 } M3 b0 f
Median lethal dose, 半数致死量
+ a# `5 a1 e2 x% e7 GMedian polish, 中位数平滑
# g, z$ [5 S6 ^& C0 k7 _# kMedian test, 中位数检验
6 v) c# F' j7 H8 ^Minimal sufficient statistic, 最小充分统计量
5 m* O: w2 _) ~7 r2 a1 ^3 [4 iMinimum distance estimation, 最小距离估计
! T, w& B3 n# q9 k3 D8 b( FMinimum effective dose, 最小有效量
6 y0 m8 P& V# r. {; [3 p3 NMinimum lethal dose, 最小致死量
' t3 p, ]( K* j4 j# PMinimum variance estimator, 最小方差估计量
4 E* } Q& B. G6 n* [ SMINITAB, 统计软件包4 ]3 ^" |' C# i+ s' l0 N$ q
Minor heading, 宾词标目+ H8 h4 e2 U: {" B5 p. v! [4 Y/ c
Missing data, 缺失值8 t; e8 `' @9 w! C( c/ ]
Model specification, 模型的确定
! b2 d5 M# }7 R( ~0 a4 w9 ]( cModeling Statistics , 模型统计5 z y: h* @& S
Models for outliers, 离群值模型! K: e8 o7 t$ }) X
Modifying the model, 模型的修正8 @1 ]8 |! w7 k/ Q+ n
Modulus of continuity, 连续性模2 D( `# p+ |- ~$ E# L
Morbidity, 发病率 5 [1 r( ~. S1 f& I6 u
Most favorable configuration, 最有利构形
5 L" T+ D8 b: y* t# NMultidimensional Scaling (ASCAL), 多维尺度/多维标度
5 ~% g1 Z6 K2 s; e: L# o& `Multinomial Logistic Regression , 多项逻辑斯蒂回归 R7 V$ U8 b- v. I0 ?$ n' _
Multiple comparison, 多重比较: D. I6 e) v5 ~( X' r
Multiple correlation , 复相关. ]" L8 u8 t" t- {/ S
Multiple covariance, 多元协方差
4 u/ Y& S& ~' g4 C/ o0 VMultiple linear regression, 多元线性回归6 e# `( P9 m4 X0 h. k
Multiple response , 多重选项" L/ X. x2 r5 ~; [! c/ ^
Multiple solutions, 多解: } w% Q$ f% k9 S2 D* h9 _! X) v2 Q
Multiplication theorem, 乘法定理7 t" ]$ ~5 F, a, d
Multiresponse, 多元响应. c' R0 ^7 R& U0 N0 x5 i7 I
Multi-stage sampling, 多阶段抽样
; G" N0 I, G. P* T. [& n% qMultivariate T distribution, 多元T分布
5 g: Q+ E5 X! F: @Mutual exclusive, 互不相容
4 u6 \: K* p/ D2 G$ y( V+ pMutual independence, 互相独立
T' e5 u, R. iNatural boundary, 自然边界7 d" T% A- O# q$ k8 p/ B
Natural dead, 自然死亡
$ w( j/ j" R% T% H8 y! xNatural zero, 自然零& h5 d! `7 z: g0 c# U* J4 X
Negative correlation, 负相关$ N4 W- ]1 ]) I2 G, x. J
Negative linear correlation, 负线性相关* K. A, L0 J4 z
Negatively skewed, 负偏
, x6 }$ R) `/ n0 F7 c4 WNewman-Keuls method, q检验
7 P* n1 p! o! G' v$ XNK method, q检验' O" }- t0 N; b! y3 f* ~2 x9 M
No statistical significance, 无统计意义+ q- u7 b) s, O( O! f
Nominal variable, 名义变量. t+ i/ b8 J# O/ B- y- I
Nonconstancy of variability, 变异的非定常性
}* i! G I) n6 w5 TNonlinear regression, 非线性相关
, d! b6 N$ _# k+ {! wNonparametric statistics, 非参数统计
! E" z& g$ B/ L; S1 LNonparametric test, 非参数检验
/ S% s/ ` \0 y' g) x/ N/ {Nonparametric tests, 非参数检验+ b+ e: x" K1 \2 \
Normal deviate, 正态离差
3 `( _- U" j5 D! n4 Q/ DNormal distribution, 正态分布( P. H6 h" Z2 X/ }9 S. C+ g P
Normal equation, 正规方程组
8 E: K* J8 Q5 ~+ _, k$ |: I9 YNormal ranges, 正常范围( m' s5 ~9 c& Z8 J
Normal value, 正常值
3 i, j$ J/ r) r# v8 [Nuisance parameter, 多余参数/讨厌参数8 Q- M3 {, n6 e. k" G
Null hypothesis, 无效假设 - y4 d; B& ^2 [7 I8 ]
Numerical variable, 数值变量
% o* u" i5 y- o( k3 m- U7 gObjective function, 目标函数+ B8 O0 s* Z: m+ ?$ H! b
Observation unit, 观察单位
/ F* {. J! Q5 PObserved value, 观察值
. a' r R2 E/ m! [! C% OOne sided test, 单侧检验! {0 g9 G0 D) ~% u% J. p' @
One-way analysis of variance, 单因素方差分析
" m$ w/ r; c* Z1 YOneway ANOVA , 单因素方差分析
. c& v# m! |+ HOpen sequential trial, 开放型序贯设计 I( }# C' F! Z+ B i) V, A" ~
Optrim, 优切尾1 A5 R: R9 a/ r& i4 Y
Optrim efficiency, 优切尾效率1 m2 f2 p: A) x6 G8 W
Order statistics, 顺序统计量
0 e/ x6 _- n( MOrdered categories, 有序分类
8 y6 |) t* x. x. B: Z+ L6 u* nOrdinal logistic regression , 序数逻辑斯蒂回归& ?; r$ _( J# H8 m' O/ J
Ordinal variable, 有序变量
: w! @7 R" ^7 e( |) Z+ rOrthogonal basis, 正交基
6 l( q5 n) ]* R Q" @9 ]Orthogonal design, 正交试验设计
2 w! s; I% ?4 v* ~9 U) rOrthogonality conditions, 正交条件
% f& U1 _; o2 s5 nORTHOPLAN, 正交设计 6 r2 e# ?# I2 O/ {1 O+ ~2 v2 o
Outlier cutoffs, 离群值截断点
|0 u! V: O7 X; JOutliers, 极端值
) E t* l' u7 a* U8 g1 I9 D- cOVERALS , 多组变量的非线性正规相关
9 L$ J- | o! F* v8 f. U0 _3 dOvershoot, 迭代过度, V2 e) J5 f) ]7 L0 D, Q; A. e* i
Paired design, 配对设计; w" v- t3 R, c3 H
Paired sample, 配对样本$ b5 N3 c1 O0 R. m3 z9 X
Pairwise slopes, 成对斜率
7 _+ Z* Q) ]/ G, |5 f: eParabola, 抛物线7 K, u+ \ e$ O2 W4 _& E7 f4 p
Parallel tests, 平行试验6 {% u) X; B: J$ [; c w
Parameter, 参数
! B7 p2 E6 f1 q, T$ _Parametric statistics, 参数统计1 E7 ^) u, @) Q7 b, b
Parametric test, 参数检验
( D9 [, A! C, Q. m, |Partial correlation, 偏相关
8 k( E8 ~$ r: \) ?' ~Partial regression, 偏回归# u) y& m; U/ B* G* T
Partial sorting, 偏排序
6 L- Y( B8 U U. j. a& J; \Partials residuals, 偏残差, |4 b4 u% T7 b0 C
Pattern, 模式
6 g5 g+ y' `4 u8 Q: V! K( APearson curves, 皮尔逊曲线
; w7 w( T7 m. i9 y1 U4 fPeeling, 退层3 H' e8 L L y( z' c) t1 a
Percent bar graph, 百分条形图
. c8 [. H3 M# B' `/ s; TPercentage, 百分比
. |! D G$ W4 b6 E7 m$ a3 aPercentile, 百分位数% k8 A' D% u' J A" ?& @9 j
Percentile curves, 百分位曲线; j" d V/ | r$ h' K
Periodicity, 周期性
$ ]0 b& A0 w" K7 mPermutation, 排列
, y4 z1 ]+ j' i: JP-estimator, P估计量9 [; W# n3 B0 N6 b8 h# w
Pie graph, 饼图
3 T% M1 i: H* }( {) rPitman estimator, 皮特曼估计量$ L. A W$ P: K3 ?/ Y
Pivot, 枢轴量
( _/ h8 Z! x) _8 r P5 |Planar, 平坦) L+ z- r6 _* x; G' \
Planar assumption, 平面的假设
# K% O8 G; l( F3 R5 ^PLANCARDS, 生成试验的计划卡
( I/ |0 ]4 _5 M4 G3 E ePoint estimation, 点估计& {& U7 {: k! a
Poisson distribution, 泊松分布
& g `7 w: K3 W# r" K( A* B7 ~# IPolishing, 平滑
, ?, }% K/ X- \* V2 W* a0 v8 xPolled standard deviation, 合并标准差. [: Z3 C z3 G; r. A+ Z
Polled variance, 合并方差
0 w1 K# `7 ]! c A) RPolygon, 多边图8 m" O7 P8 [9 Y* H A
Polynomial, 多项式
' {8 g* }; Q3 ^: ~Polynomial curve, 多项式曲线, Q8 _: V# y* N7 A
Population, 总体1 {( r% J" r' d j1 g, ]+ i: d2 u
Population attributable risk, 人群归因危险度2 w8 ^% r6 J! Q7 x
Positive correlation, 正相关
* V8 c6 W) e- r9 Z3 }8 N: B# rPositively skewed, 正偏8 m; h: x1 |$ l, U6 i1 M% [% C
Posterior distribution, 后验分布
$ N, j8 C" m) ePower of a test, 检验效能
7 p N2 n. ]; G- p, HPrecision, 精密度
& X# I$ |& G9 F4 ~ a3 u) \, A& YPredicted value, 预测值
, o. y& J5 l1 A+ m+ \- @: F+ kPreliminary analysis, 预备性分析
9 \6 @3 Z& C' G9 bPrincipal component analysis, 主成分分析# v1 ]. d# ~! F4 Q) k( x1 Y& [
Prior distribution, 先验分布
, g+ t8 u5 B# y: H2 f* d$ iPrior probability, 先验概率
! G6 x0 N& b/ C( B/ z( NProbabilistic model, 概率模型
3 ?/ |( O- q0 c: m. E' o% qprobability, 概率
: R; A+ O- ~3 dProbability density, 概率密度
; a! p, y& o9 Z0 [3 g, G5 nProduct moment, 乘积矩/协方差
! O; i A: S! X& x' SProfile trace, 截面迹图
5 H6 Q1 o% u( @3 p: }& v5 ?% {. w' wProportion, 比/构成比
/ r Z6 M2 F/ r2 N4 qProportion allocation in stratified random sampling, 按比例分层随机抽样
9 o' Z$ L0 {6 c. Q+ h- n4 B$ ^Proportionate, 成比例
- q j% r% h1 l7 k7 GProportionate sub-class numbers, 成比例次级组含量/ g' }4 i" h4 N* m w8 l; M- ~- w
Prospective study, 前瞻性调查
- L" s U* o; k% kProximities, 亲近性
3 @3 Y' W3 j4 q: w3 f4 t) mPseudo F test, 近似F检验
. q7 h' m- @3 v* p) H/ ~Pseudo model, 近似模型! x) w" z d7 i, m$ n( Z- A
Pseudosigma, 伪标准差9 s+ F" z; _+ P% \/ ~
Purposive sampling, 有目的抽样" Y6 m" P, h: }0 O
QR decomposition, QR分解. Q8 ~5 y0 Z+ R4 }8 q
Quadratic approximation, 二次近似. v( |' f) k: f7 G3 A/ z6 G
Qualitative classification, 属性分类
3 A; _4 \. K% n7 w0 gQualitative method, 定性方法
l9 n& e9 ~( o( PQuantile-quantile plot, 分位数-分位数图/Q-Q图1 \! j& Q) N f6 q( R
Quantitative analysis, 定量分析
3 t; B( m+ l# f8 NQuartile, 四分位数9 F6 @$ r+ p# }: ]8 v8 |( C
Quick Cluster, 快速聚类; R2 R( o- N5 Z; _
Radix sort, 基数排序, E1 W( D% r6 D- J2 H/ c3 \% X
Random allocation, 随机化分组
$ @( w% k1 l$ mRandom blocks design, 随机区组设计. x. W9 T o E/ }1 q6 O
Random event, 随机事件. K' |1 a$ A! q4 X
Randomization, 随机化
2 s% R$ {+ W' ~/ iRange, 极差/全距
7 N: W) b3 T& A: Y+ BRank correlation, 等级相关
; u6 q" o: j$ u4 p5 k( U* NRank sum test, 秩和检验& `5 e0 F. `* r. f% m! z. m
Rank test, 秩检验 O5 D5 K8 O* s' k# T
Ranked data, 等级资料
4 f0 ^" `! F g0 d( r: j8 g0 ]Rate, 比率
$ U# i3 ]; a8 w" k8 m3 N/ ARatio, 比例
, H7 o: P. U# }, DRaw data, 原始资料 G, c9 f* @, g( ^& {7 B- R
Raw residual, 原始残差, ~! M7 M s V& z
Rayleigh's test, 雷氏检验
- Y% d/ p* f1 ~ lRayleigh's Z, 雷氏Z值
' {5 _% G! U8 m& d" r+ wReciprocal, 倒数/ O3 M S: v& W) E3 x( b% S& M+ A
Reciprocal transformation, 倒数变换
* j9 R; \. M3 _Recording, 记录! `' @% d! w0 \- h' |& T2 @
Redescending estimators, 回降估计量
+ y6 D& I5 c) \4 GReducing dimensions, 降维
6 P% p' _" L8 j' |4 s ]Re-expression, 重新表达. C+ P% }: ]: K8 o9 b/ Y5 Y( z
Reference set, 标准组
. H9 m. h" A0 R; YRegion of acceptance, 接受域 e5 R) T& c' \ ]
Regression coefficient, 回归系数: ?: a( j- |3 l( d y3 z# U$ ~
Regression sum of square, 回归平方和* ]9 [2 Q) l7 u' @( L6 A2 c
Rejection point, 拒绝点
, Y) p" z. h/ r) x& mRelative dispersion, 相对离散度$ W5 }& X# I' e$ B. Q- N% T& U5 n
Relative number, 相对数, ~) Z8 E/ o0 `1 C% ~+ ?# \
Reliability, 可靠性
% I% C! s$ S7 E" K1 T, a) xReparametrization, 重新设置参数: o- ]6 P* ~" g; O7 O- U2 \: i p
Replication, 重复3 S8 X! F* I: ?) ?5 _6 P
Report Summaries, 报告摘要2 U6 Q* [) w! t- t `
Residual sum of square, 剩余平方和7 j# E7 ~7 Q% y1 i
Resistance, 耐抗性" `1 {; W4 J. g
Resistant line, 耐抗线: s7 Q/ W) [2 G$ q- a$ c9 O- |
Resistant technique, 耐抗技术
" v8 {) e d9 H4 w8 HR-estimator of location, 位置R估计量5 i5 z3 _) Z6 G! T) m# @3 [6 _) t( K
R-estimator of scale, 尺度R估计量) L9 Z" E( O- T
Retrospective study, 回顾性调查
7 `7 i6 J+ s B V% B* zRidge trace, 岭迹
8 I/ `8 f; H8 c; o+ c# L4 p3 WRidit analysis, Ridit分析
# O, h9 z) d+ z5 d4 F, k5 q( U3 ORotation, 旋转
# t# {) C- t$ y& V/ ]Rounding, 舍入3 X8 \1 [: |4 Y2 ^
Row, 行' Z5 s& j+ u5 o8 s
Row effects, 行效应$ G, o7 Z4 Z; e0 [& j, w$ @
Row factor, 行因素) P1 M: O6 g/ ]/ d) m
RXC table, RXC表9 y- [* ^& R5 O! }/ C5 T
Sample, 样本: N1 y# y8 ^1 t! Y! L
Sample regression coefficient, 样本回归系数
" I1 u F; o) A8 Q! xSample size, 样本量& j7 ?8 l" M2 k2 i( X9 l; w% H! t
Sample standard deviation, 样本标准差
: S1 ~2 ?$ @6 A# e, x0 d3 FSampling error, 抽样误差
4 v' A% I; J% e8 @" @6 ? v- R' RSAS(Statistical analysis system ), SAS统计软件包6 O$ r B6 B+ Q3 B. K
Scale, 尺度/量表2 z3 N6 N3 V" {5 D( o1 ]5 ^; \4 N, P
Scatter diagram, 散点图2 S, x" r6 `5 P
Schematic plot, 示意图/简图4 Y3 c* g7 u7 v
Score test, 计分检验
& m) v( z4 E) H w( j, o) R _+ EScreening, 筛检7 ?) h& A4 G2 W" X- \' t
SEASON, 季节分析
" E5 u& k- {0 l$ oSecond derivative, 二阶导数; N( E. l/ |* ?) R" Z* ~/ d6 \' v
Second principal component, 第二主成分
, h( _3 j& t/ q0 @SEM (Structural equation modeling), 结构化方程模型
J3 W! T3 ?9 h, _( }Semi-logarithmic graph, 半对数图
+ Y2 `$ {! R, \7 mSemi-logarithmic paper, 半对数格纸
0 q3 v4 Y* T9 H# ~3 Z5 l; c! cSensitivity curve, 敏感度曲线; u3 Y" a3 v6 f. z
Sequential analysis, 贯序分析
$ u. X" D6 x$ j$ CSequential data set, 顺序数据集# M, V7 B$ M! a
Sequential design, 贯序设计
8 W9 K! M7 I9 j- YSequential method, 贯序法6 S! m3 `! v2 O! F9 x8 \5 n5 I) w
Sequential test, 贯序检验法
# `, A/ {: P8 m7 m# Q4 u! hSerial tests, 系列试验
" Z; V( I( Z' ?7 Z9 RShort-cut method, 简捷法 " _: f0 _: o8 e0 q1 s7 i- v
Sigmoid curve, S形曲线
% z* c9 C* _) r2 {. n8 W! N$ FSign function, 正负号函数
, Y$ t3 u v0 q# @! y3 r2 BSign test, 符号检验& ] z b2 `0 `9 s, [
Signed rank, 符号秩8 o8 m9 i* C& P1 I9 D" h- G
Significance test, 显著性检验: u' y3 c' ~! j S" L
Significant figure, 有效数字5 L; t0 q) j }0 S1 X. m# A
Simple cluster sampling, 简单整群抽样
& S0 B9 ]0 c" |7 i0 A5 j/ T. ySimple correlation, 简单相关, z2 x/ J' t9 D8 }7 ?
Simple random sampling, 简单随机抽样/ ~1 {; M" }: Z. X/ _+ g
Simple regression, 简单回归
1 o6 i! D- K) Q* P0 T; |5 S2 gsimple table, 简单表- i& N1 {$ o$ w$ t' h
Sine estimator, 正弦估计量4 M5 k' Z. e& l |4 b- |
Single-valued estimate, 单值估计0 [! `/ ^) M& A3 Z" B
Singular matrix, 奇异矩阵
; _* {. n* E" S+ ~" D( n5 b9 `Skewed distribution, 偏斜分布
+ _$ @ I( E2 a+ _6 m1 FSkewness, 偏度
/ n* `+ f" T; ?9 l: p: nSlash distribution, 斜线分布2 J5 K3 [- u, c& {: \2 U- t9 C
Slope, 斜率- e. ?3 [2 K/ X7 r: M- V1 x
Smirnov test, 斯米尔诺夫检验
- F% c& m) T t/ d' x$ B; K( FSource of variation, 变异来源
$ o/ {: h' l6 gSpearman rank correlation, 斯皮尔曼等级相关
0 m9 s4 ]% ~9 R3 L$ Q9 p+ K1 WSpecific factor, 特殊因子
' r s* L% ^2 d. ~1 c5 P& i+ eSpecific factor variance, 特殊因子方差
9 B" w: w( E% x6 qSpectra , 频谱
0 T' r; P+ ]1 p8 O7 {# k6 L6 t. T! _Spherical distribution, 球型正态分布/ I3 ~: {' u; U7 k+ `, i1 Q' g! q/ y& w
Spread, 展布1 e o- _/ H W- x+ F
SPSS(Statistical package for the social science), SPSS统计软件包! I6 c/ r, g: S
Spurious correlation, 假性相关
) h- G' N8 Y; @( q/ _. eSquare root transformation, 平方根变换* b; f; w0 A( @ o
Stabilizing variance, 稳定方差
. W8 G' }; t5 r- sStandard deviation, 标准差
. l* Y7 X" n" \6 }" A+ }Standard error, 标准误3 F0 I- H! k) Y7 c2 q2 ^
Standard error of difference, 差别的标准误. b8 Z+ P# h& ?$ s- y; w4 g8 q
Standard error of estimate, 标准估计误差
) [" Q! w, \# R+ M9 H, b1 RStandard error of rate, 率的标准误
$ h9 }+ j$ F0 a8 AStandard normal distribution, 标准正态分布" u4 p9 a4 a" ^- T' [
Standardization, 标准化
# s2 E# t$ s( w! }$ j. _ hStarting value, 起始值
, s. u' m2 R3 K: |Statistic, 统计量
* l3 E4 g, x; {- f9 XStatistical control, 统计控制
" e h. Q6 }. `9 b6 F7 q. EStatistical graph, 统计图2 W2 N( l9 L n% w8 ]9 W9 |! Q
Statistical inference, 统计推断
; G ]' k8 d1 S: z3 i4 E- ~4 OStatistical table, 统计表9 {% J( I9 w3 i6 m; E* a# M
Steepest descent, 最速下降法
3 J7 h6 d) l4 u% S9 j8 w, Y3 XStem and leaf display, 茎叶图. ~6 t I6 x m4 L5 r' z
Step factor, 步长因子) o% k0 l% L* N+ {
Stepwise regression, 逐步回归
$ r) K+ O2 Y1 P; T, S+ P! B) d! JStorage, 存 J- b+ u5 S" k E/ I5 r
Strata, 层（复数）. q9 y8 v. c0 n- u/ v
Stratified sampling, 分层抽样- ]6 {0 R: o( T, x3 e
Stratified sampling, 分层抽样
/ N/ a5 \# x/ Q) C7 D9 qStrength, 强度- }$ k' C# X' M, s) P% d; G& \
Stringency, 严密性
. s$ `% c# l5 ~* m k+ fStructural relationship, 结构关系# N. m& b( C2 ~. z+ {- d1 J
Studentized residual, 学生化残差/t化残差. q/ z: W( P& Z. r5 p/ U! q
Sub-class numbers, 次级组含量7 F8 Y0 q( _+ i/ ~
Subdividing, 分割
6 H2 U3 ~' S. o! gSufficient statistic, 充分统计量+ ~8 I O$ S( t0 w4 J+ c- j) t
Sum of products, 积和6 q0 ]& S* d# J; G3 G
Sum of squares, 离差平方和+ `9 U9 e: ]; \) Q! t
Sum of squares about regression, 回归平方和* m/ [5 w/ G! ], x( C5 k
Sum of squares between groups, 组间平方和 P( ~& J, F& x8 C9 A9 t
Sum of squares of partial regression, 偏回归平方和. ?' R, A& p- S4 X6 }# I. }
Sure event, 必然事件9 h0 e( N; _" p0 W% F4 z
Survey, 调查
, _- P. U* {4 Z. R- V6 BSurvival, 生存分析
6 [" u% O( D" dSurvival rate, 生存率3 w$ y. z% q; `# J
Suspended root gram, 悬吊根图! y4 ^9 b& A# Y
Symmetry, 对称
7 K. _8 m/ A# D4 uSystematic error, 系统误差
8 ~6 N' X- e) ~6 i9 y; {Systematic sampling, 系统抽样- u* V6 I: A% N9 f) w5 j
Tags, 标签
2 q0 Y" G' F0 m5 g) L3 p+ xTail area, 尾部面积# ?2 c7 Z' S( _4 l- F
Tail length, 尾长- z+ v8 x+ O X# L- S+ T
Tail weight, 尾重
9 O5 y- C% }+ ~* F* e5 C: gTangent line, 切线4 k9 M' x1 R6 O6 {
Target distribution, 目标分布
8 P5 h$ _0 t" @* t) ATaylor series, 泰勒级数
/ o2 v' A- R# h# D" @Tendency of dispersion, 离散趋势0 b: j2 w, A1 d9 X; I. R5 g
Testing of hypotheses, 假设检验1 p0 v2 Y2 ?5 F( A% ]
Theoretical frequency, 理论频数
" |4 x' ~$ F$ F" k6 o! i6 CTime series, 时间序列 G) ~5 y+ h2 U( Y, p
Tolerance interval, 容忍区间; F9 o' ?' M3 P8 |& g' j
Tolerance lower limit, 容忍下限
, }9 F; f7 T4 d8 d! @Tolerance upper limit, 容忍上限* {) m& q3 M5 [9 `6 \/ E
Torsion, 扰率9 m) }8 S3 e) W* h% I! a% ]3 h3 e
Total sum of square, 总平方和
) F; r4 d' ~: G$ r; a/ DTotal variation, 总变异4 _6 m1 D) p* L* h5 z5 A
Transformation, 转换% Y( l# D0 R& [) I; S9 r7 y3 N
Treatment, 处理2 m0 \; N. l) f2 A9 }6 A# W
Trend, 趋势
$ _! f) }$ x0 |( R8 O4 N/ _1 t/ ZTrend of percentage, 百分比趋势
# W7 d5 {3 i" {Trial, 试验
b% E/ c1 I; i/ }: ETrial and error method, 试错法7 n6 C5 k+ F. W$ x4 g' y
Tuning constant, 细调常数
2 p2 W7 I% D! l' G |Two sided test, 双向检验
+ X" y- ~8 A3 k' V! x+ h! u( s# DTwo-stage least squares, 二阶最小平方
, l9 V( h0 m) e" j) j) `; tTwo-stage sampling, 二阶段抽样# D6 e: p; Z: W2 [
Two-tailed test, 双侧检验1 ?, K! _2 {. T( {
Two-way analysis of variance, 双因素方差分析
5 U0 k2 L" d/ aTwo-way table, 双向表% ?0 X2 X. ^, d* L G
Type I error, 一类错误/α错误- c; e1 G& M. m6 h0 t4 @/ {. e3 \
Type II error, 二类错误/β错误
/ G6 W" o+ X; H' f( ^- Q/ NUMVU, 方差一致最小无偏估计简称' s5 Q- }; W- ~) l6 F3 R
Unbiased estimate, 无偏估计
" f* z% i; J: t- M( @8 `7 ?3 lUnconstrained nonlinear regression , 无约束非线性回归
' v/ c! T4 ~! ~$ \- h3 _: XUnequal subclass number, 不等次级组含量
5 m2 j' y( O6 tUngrouped data, 不分组资料5 m# u* g9 M1 h; @0 _/ g
Uniform coordinate, 均匀坐标' Y$ J! G8 d; B1 f- r
Uniform distribution, 均匀分布1 V6 o1 G% ~4 K: u3 ?7 a
Uniformly minimum variance unbiased estimate, 方差一致最小无偏估计
% ~$ C% p: _. i; k" L2 z# r! l4 ]Unit, 单元
+ s" V; i" S( F" ]9 h* AUnordered categories, 无序分类
+ b3 y+ o$ j2 m0 b$ V5 MUpper limit, 上限
* ], a; V& w, V$ M( d1 ]4 oUpward rank, 升秩
9 K* o9 Q; A' nVague concept, 模糊概念6 \% K+ N- q+ B. m# O! P
Validity, 有效性
3 O0 G, w. a2 c* qVARCOMP (Variance component estimation), 方差元素估计
2 p9 ~: Z" A2 N/ jVariability, 变异性
8 C! m! T- G. T0 wVariable, 变量; |; G0 g5 E# p, I6 V
Variance, 方差4 l6 m2 b, i! y) ?5 y9 a
Variation, 变异
5 G) q' ^! @) ^Varimax orthogonal rotation, 方差最大正交旋转" {" T s3 d! q: Z! [" i6 Z3 F
Volume of distribution, 容积3 V2 w! D0 c* M
W test, W检验
, f( M- U' r7 L; C0 n2 h: bWeibull distribution, 威布尔分布
- D) b5 c$ h9 E, U% tWeight, 权数# i! o- R( S e( Z. w
Weighted Chi-square test, 加权卡方检验/Cochran检验
# t+ v* F1 }. X7 e" R+ S" dWeighted linear regression method, 加权直线回归
! P* I: b) X, d# a. }9 t* ?Weighted mean, 加权平均数
( g$ W. r' z" U5 sWeighted mean square, 加权平均方差
5 ?4 M6 ^9 V+ i+ C) iWeighted sum of square, 加权平方和& W# O1 b! o# x4 C' l
Weighting coefficient, 权重系数9 x k+ F) |4 [5 C3 I- E
Weighting method, 加权法 ! M2 m5 S2 O: {8 L6 S. k4 s
W-estimation, W估计量* j. B- k& B4 S) i# S8 V0 p
W-estimation of location, 位置W估计量5 [' W/ |5 [3 L
Width, 宽度, A; _ u! N1 s9 G
Wilcoxon paired test, 威斯康星配对法/配对符号秩和检验" m* D9 _, \$ r' m5 K6 E
Wild point, 野点/狂点
* n" t( d% I- E$ e. NWild value, 野值/狂值
, S# c- W% }" ~! q1 fWinsorized mean, 缩尾均值8 v9 r* }; f$ v2 c& t
Withdraw, 失访
4 e! _; H4 h* l# {Youden's index, 尤登指数2 p, k% x& Z: V2 |% M4 t8 u" D5 p4 n$ N8 R
Z test, Z检验
. A! f' R" K; k' Z* E# `# uZero correlation, 零相关! f" e& a0 N1 Q- U3 C( c) Z
Z-transformation, Z变换 |
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发表于 2009-1-6 22:05
